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Daniel Amieva Rodriguez (BETA FILE)
Im just a mizcli
Education
High School Diploma
Bishop Seabury Academy
Kansas, USA
N/A
Diploma Data Analytics with Python
Emtech
Cdmx, MX
N/A
Diplomado Historia Mundial
MIDE
Cdmx, MX
N/A
Diplomado Historias Comparadas de Desarrollo
MIDE
Cdmx, MX
N/A
Diplomado Historia de Mexico
MIDE
Cdmx, MX
N/A
Diplomado …….?
N/A
Cdmx, MX
N/A
BSc Economics
UNAM
Cdmx, MX
2020 - 2015
- Focused on network models & interactive visualization platforms for electronic health records data
- University Graduate Fellow
Data Science Summer School
Beihang University
Beijing, CH
2015 - 2011
- Thesis: An agent based model of Diel Vertical Migration patterns of Mysis diluviana
Diploma Data Science
UNAM
Cdmx, MX
2013 - 2012
- Independently analyzed and constructed statistical models for large data sets pertaining to carbon decomposition rates.
Industry Experience
Software Engineer
Remote
RStudio
Current - 2020
- Helping make programming web applications with R easier and more beautiful on the Shiny team
Data Journalist - Graphics Department
New York, New York
New York Times
2016 - 2016
- Reporter with the graphics desk covering topics in science, politics, and sport.
- Work primarily done in R, Javascript, and Adobe Illustrator.
Engineering Intern - User Experience
Burlington, VT
Dealer.com
2015 - 2015
- Built internal tool to help analyze and visualize user interaction with back-end products.
Data Science Intern
Burlington, VT
Dealer.com
2015 - 2015
- Worked with the product analytics team to help parse and visualize large stores of data to drive business decisions.
Data Artist In Residence
Carpinteria, CA
Conduce
2015 - 2014
- Envisioned, prototyped and implemented visualization framework in the course of one month.
- Constructed training protocol for bringing third parties up to speed with new protocol.
Software Engineering Intern
Carpinteria, CA
Conduce
2014 - 2014
- Incorporated d3.js to the company’s main software platform.
Research Experience
Graduate Research Assistant
Vanderbilt University
TBILab (Yaomin Xu’s Lab)
Current - 2015
- Primarily working with large EHR and Biobank datasets.
- Developing network-based methods to investigate and visualize clinically relevant patterns in data.
Data Science Researcher
Johns Hopkins University
Data Science Lab
2018 - 2017
- Building R Shiny applications in the contexts of wearables and statistics education.
- Work primarily done in R Shiny and Javascript (node and d3js).
Undergraduate Researcher
University of Vermont
Rubenstein Ecosystems Science Laboratory
2015 - 2013
- Analyzed and visualized data for CATOS fish tracking project.
- Head of data mining project to establish temporal trends in population densities of Mysis diluviana (Mysis).
- Ran project to mathematically model the migration patterns of Mysis (honors thesis project.)
Human Computer Interaction Researcher
University of Michigan
LabInTheWild (Reineke Lab)
2015 - 2015
- Led development and implementation of interactive data visualizations to help users compare themselves to other demographics.
Undergraduate Researcher
University of Vermont
Bentil Laboratory
2014 - 2013
- Developed mathematical model to predict the transport of sulfur through the environment with applications in waste cleanup.
Teaching Experience
I am passionate about education. I believe that no topic is too complex if the teacher is empathetic and willing to think about new methods of approaching task.
Javascript for Shiny Users
N/A
RStudio::conf 2020
2020
- Served as TA for two day workshop on how to leverage Javascript in Shiny applications
- Lectured on using R2D3 package to build interactive visualizations.
Data Visualization Best Practices
N/A
DataCamp
2019 - 2019
- Designed from bottom up course to teach best practices for scientific visualizations.
- Uses R and ggplot2.
- In top 10% on platform by popularity.
Improving your visualization in Python
N/A
DataCamp
2019 - 2019
- Designed from bottom up course to teach advanced methods for enhancing visualization.
- Uses python, matplotlib, and seaborn.
Advanced Statistical Learning and Inference
Nashville, TN
Vanderbilt Biostatistics Department
2018 - 2017
- TA and lectured
- Topics covered from penalized regression to boosted trees and neural networks
- Highest level course offered in department
Advanced Statistical Computing
Nashville, TN
Vanderbilt Biostatistics Department
2018 - 2018
- TA and lectured
- Covered modern statistical computing algorithms
- 4th year PhD level class
Statistical Computing in R
Nashville, TN
Vanderbilt Biostatistics Department
2017 - 2017
- TA and lectured
- Covered introduction to R language for statistics applications
- Graduate level class
Selected Data Science Writing
Using AWK and R to Parse 25tb
N/A
LiveFreeOrDichotomize.com
2019
- Story of parsing large amounts of genomics data.
- Provided advice for dealing with data much larger than disk.
- Reached top of HackerNews.
Classifying physical activity from smartphone data
N/A
RStudio Tensorflow Blog
2018
- Walk through of training a convolutional neural network to achieve state of the art recognition of activities from accelerometer data.
- Contracted article.
The United States of Seasons
N/A
LiveFreeOrDichotomize.com
2018
- GIS analysis of weather data to find the most ‘seasonal’ locations in United States
- Used Bayesian regression methods for smoothing sparse geospatial data.
A year as told by fitbit
N/A
LiveFreeOrDichotomize.com
2017
- Analyzing a full years worth of second-level heart rate data from wearable device.
- Demonstrated visualization-based inference for large data.
MCMC and the case of the spilled seeds
N/A
LiveFreeOrDichotomize.com
2017
- Full Bayesian MCMC sampler running in your browser.
- Coded from scratch in vanilla Javascript.
The Traveling Metallurgist
N/A
LiveFreeOrDichotomize.com
2017
- Pure javascript implementation of traveling salesman solution using simulated annealing.
- Allows reader to customize the number and location of cities to attempt to trick the algorithm.
Selected Press (About)
Great paper? Swipe right on the new ‘Tinder for preprints’ app
N/A
Science
2017 - 2017
- Story of the app Papr made with Jeff Leek and Lucy D’Agostino McGowan.
Swipe right for science: Papr app is ‘Tinder for preprints’
N/A
Nature News
2017 - 2017
- Second press article for app Papr.
Selected Press (By)
A Trail of Terror in Nice, Block by Block
N/A
The New York Times
2016 - 2016
- Led research effort to put together story of 2016 terrorist attack in Nice, France in less than 12 hours.
- Work won Silver medal at Malofiej 2017, and gold at Society of News and Design.
Selected Publications, Posters, and Talks
Asymmetric Linkage Disequilibrium: Tools for Dissecting Multiallelic LD
N/A
Journal of Human Immunology
2015 - 2015
- Authored with Richard Single, Vanja Paunic, Mark Albrecht, and Martin Maiers.